Michelle Shardell, PhD, focuses her research on the epidemiology of aging. Employing her interdisciplinary background in biostatistics, Dr. Shardell develops statistical methods to assess the relation of high-dimensional biomarkers (metabolomics, proteomics) with aging-related outcomes, an innovative approach to integrating microbiome data into aging studies.   

She is a leader in biostatistics, developing novel statistical methods to handle confounding variables in studies of older adults, adapting machine-learning methods to identify and validate clinically meaningful thresholds, integrating omics data, and developing time-to-event methods with informative censoring.   

Dr. Shardell completed her bachelor’s degree in mathematics at the University of Florida with high honors. She received an MS in Biostatistics from the University of Michigan School of Public Health and her PhD in Biostatistics from the Johns Hopkins University Bloomberg School of Public Health.